Caihong Liang’s scientific contributions

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Publications (2)


Figure 1. Four-step process to extract and analyze data
Guilin pension institutions' characteristics
Advantages of public pension institutions in Guilin
Improving the Quality of Senior Care Based on the Rating of Guilin Pension Institutions
  • Article
  • Full-text available

February 2022

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42 Reads

Scientific and Social Research

Caihong Liang

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Junru Xu

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Wenzu Li

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The problem of population aging poses new challenges to the quality improvement and quality maintenance of the pension institution. The purpose of this study is to provide ideas for improving the service quality of senior care by analyzing the existing rating reports of the pension institution in Guilin. Since 2018, a rating system for pension institution has been established in various parts of China. These 1-5 star evaluation standards similar to hotel ratings have greatly improved the service quality of Pension institution. This study found that based on the current rating results of the pension institution in Guilin, combined with some of the characteristics of the pension institution themselves, and using traditional text mining and statistical analysis methods can help a pension institution improve their own ratings. Current statistics find that the higher ratings of pension institution have a lot to do with their own asset size, affiliation, time of establishment, geographical factors, and regulatory agencies. The results of this study can be used to improve the rating of Guilin pension institutions.

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Reasons for failing in AACQ reports.
Transforming the Pension Industry Based on Aged Care Quality Reports

November 2021

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13 Reads

Scientific and Social Research

With the intensification of population aging, the importance of the pension industry has gradually been reflected. The purpose of this study is to find mainly challenges in the pension industry by analyzing the Australian Aged Care Quality Reports. In recent years, Aged Care Quality reports have played a positive role in improving the service quality of aged care institutions and strengthening risk management. This study found that the risk factors in the aged care quality report are the key factors for the upgrading of the pension industry. With the help of traditional text data analysis and mining methods, we can effectively provide new growth points and breakthrough links for the upgrading of the pension industry. This research found the upgrading of the pension industry in the construction of basic hardware and software facilities, the level of informatization and intelligence, the improvement of the quality of aged care services, the improvement of medical problems, and the training of professionals. The research methods proposed in this study are significant to the upgrading of the current pension industry.